RishiAi - Free ChatBot CLI 🤖

RishiAi is a command-line interface (CLI) AI ChatBot that uses Google’s Gemini API to generate natural language responses. You can chat with RishiAi about anything, from images to documents, and have fun and engaging conversations.

Quick Demo

Installation:

Installing RishiAi is simple. For global access, execute one of the commands below:

• Using Node Package Manager (NPM):

npm install -g rishiai

• or if you are using (PNPM):

pnpm install -g rishiai

Usage:

Logging In:

Before using Rishi Ai, you'll need to log in with your Google Gemini API token. To do this, run the following command:

rishi login [token]

Example:

rishi login Flqw9TUeaSkRfRii3lmgZLid

This command sends a request to the Gemini endpoint for authentication. Upon receiving a successful response, your API key will be verified.

To obtain your free API key, head over to Google Gemini API Key.

If you encounter any issues, try running rishi login <token> again to refresh your credentials.

Viewing Configuration:

To view your current RishiAi configuration, simply type:

rishi config

This will display the contents of the rishi.json file stored on your machine.

Updating Configuration:

To update the default values of RishiAi, run this command:

rishi config set

By default, when you log in, we have set some default values that are required for the Google Gemini API to work properly, such as:

• maxOutputTokens: 2048
• topK: 40
• topP: 1
• temperature: 0.7
• kwargs: 1

To update these default values, simply run rishi config set. After running this command, you will be prompted to enter your desired values in place of the default values.

Chat with RishiAi:

To start chatting with the RishiAi chatbot, run this command:

rishi chat

Once you are logged in, you can have a natural language conversation with the chatbot.

Chat with image

You can also chat with an image by running:

rishi vision <image path>

When you provide the path to an image, it will be converted to base64. When you ask a question about the image, RishiAi will send a request to the Gemini Vision endpoint with the image data and your question. The response from Gemini will be used to generate a reply.

Example:

rishi vision public/image.jpg

You can ask questions like "What's happening in the image?", "Who are the people in the image?", or "What is the object on the left?".

Chat with Document

You can also chat with a document by running:

rishi read <document path>

You need to provide the path of your document, and optionally specify its file type using the -f flag. Default file type is set to text because it allows for easier splitting and chunking of content.

However, we generally recommend using the text file type for seamless conversations with any document.

Example:

rishi read <document path> -f pdf

RishiAi supports five file types: pdf, text, json, csv, and url.

Note: The url file type is included for convenience, allowing you to fetch data from websites that allow bots to scrape their web pages.

RishiAi also provides verbose output, displaying the retrieval process of chunks based on your queries.

Example:

rishi read resume.pdf -f pdf -t

Fun Fact: We can't use -v for verbose flag as it is already assigned as version flag.

By default, RishiAi use MemoryVectorStore to manage splitted chunks and indexes.

If you want to save the chunks and indexes to your local machine, you can use the -s flag. This will create a directory with a nanoid in /user/.config/configstore/rishi. You can also use the -n flag to give a custom name to the directory.

Example:

rishi read resume.pdf -f pdf -s -n resume-store

If you have already created and saved a vector store on your machine, you can load it by using the -l flag. This flag requires the location/path of the vector store directory.

Example:

rishi read resume.pdf -f pdf -l C:\Users\asus\.config\configstore\rishi\resume-store

Credits:

RishiAi utilizes Google's Gemini API for its chatbot capabilities. To obtain your free API key, head over to Google Gemini API Key.